Defect inspection technologies for additive manufacturing

By Yao Chen, Xing Peng, Ling-hua Kong, Guangxi Dong, Afaf Remani, Richard Leach. 2021

154 citations recorded by the source corpus.

Additive manufacturing (AM) technology is considered one of the most promising manufacturing technologies in the aerospace and defense industries. However, AM components are known to have various internal defects, such as powder agglomeration, balling, porosity, internal cracks and thermal/internal stress, which can significantly affect the quality, mechanical properties and safety of final parts. Therefore, defect inspection methods are important for reducing manufactured defects and improving the surface quality and mechanical properties of AM components. This paper describes defect inspection technologies and their applications in AM processes. The architecture of defects in AM processes is reviewed. Traditional defect detection technology and the surface defect detection methods based on deep learning are summarized, and future aspects are suggested.

Subfields: Automotive Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/0dc3befb3d5364a884870cbb5f8a42133df0a1f5

How researchers see this paper

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In Automotive Engineering

1. Wei Han
2. Lingbao Kong
3. Min Xu

In Industrial and Manufacturing Engineering

1. Wei Han
2. Lingbao Kong
3. Min Xu

In Mechanical Engineering

1. Wei Han
2. Lingbao Kong
3. Min Xu

Citations in the corpus

• Advances in selective laser sintering of polymers (2022, background): “Lowmelting of a single layer can cause microstructure defects, such as un-molten particles and porous structures [40].”